Search Results for author: Toshiyuki Sekiya

Found 5 papers, 1 papers with code

XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models

no code implementations30 Oct 2022 Dong-Ho Lee, Akshen Kadakia, Brihi Joshi, Aaron Chan, Ziyi Liu, Kiran Narahari, Takashi Shibuya, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, Xiang Ren

Explanation-based model debugging aims to resolve spurious biases by showing human users explanations of model behavior, asking users to give feedback on the behavior, then using the feedback to update the model.

text-classification Text Classification

Polyphone disambiguation and accent prediction using pre-trained language models in Japanese TTS front-end

no code implementations24 Jan 2022 Rem Hida, Masaki Hamada, Chie Kamada, Emiru Tsunoo, Toshiyuki Sekiya, Toshiyuki Kumakura

Although end-to-end text-to-speech (TTS) models can generate natural speech, challenges still remain when it comes to estimating sentence-level phonetic and prosodic information from raw text in Japanese TTS systems.

Morphological Analysis Polyphone disambiguation +1

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